TY - GEN
T1 - Designing short term trading systems with artificial neural networks
AU - Vanstone, Bruce
AU - Finnie, Gavin
AU - Hahn, Tobias
PY - 2009
Y1 - 2009
N2 - There is a long established history of applying Artificial Neural Networks (ANNs) to financial data sets. In this paper, the authors demonstrate the use of this methodology to develop a financially viable, short-term trading system. When developing short-term systems, the authors typically site the neural network within an already existing non-neural trading system. This paper briefly reviews an existing medium-term long-only trading system, and then works through the Vanstone and Finnie methodology to create a short-term focused ANN which will enhance this trading strategy. The initial trading strategy and the ANN enhanced trading strategy are comprehensively benchmarked both in-sample and out-of-sample, and the superiority of the resulting ANN enhanced system is demonstrated.
AB - There is a long established history of applying Artificial Neural Networks (ANNs) to financial data sets. In this paper, the authors demonstrate the use of this methodology to develop a financially viable, short-term trading system. When developing short-term systems, the authors typically site the neural network within an already existing non-neural trading system. This paper briefly reviews an existing medium-term long-only trading system, and then works through the Vanstone and Finnie methodology to create a short-term focused ANN which will enhance this trading strategy. The initial trading strategy and the ANN enhanced trading strategy are comprehensively benchmarked both in-sample and out-of-sample, and the superiority of the resulting ANN enhanced system is demonstrated.
UR - http://www.scopus.com/inward/record.url?scp=78651562073&partnerID=8YFLogxK
U2 - 10.1007/978-90-481-2311-7_34
DO - 10.1007/978-90-481-2311-7_34
M3 - Conference contribution
AN - SCOPUS:78651562073
SN - 9789048123100
VL - 39 LNEE
T3 - Lecture Notes in Electrical Engineering
SP - 401
EP - 409
BT - Advances in Electrical Engineering and Computational Science
ER -